Google Cloud

Elastifile Unveils Managed Service to Deliver Scalable File Storage for Google Cloud Platform

Elastifile, the pioneer of enterprise-grade, scalable file storage for the public cloud, today announced the introduction of a fully-managed, scalable file storage service for Google Cloud Platform. Leveraging tight integration with Google Cloud infrastructure, Elastifile Cloud File Service makes it easy to deploy, manage, and scale enterprise file storage in the public cloud. Customers can sign up for early access to the new service at https://www.elastifile.com/early-access-gcp.

With an increasing number of organizations seeking to leverage public cloud resources, scalable, cost-effective file storage has emerged as a critical enabler for ubiquitous cloud adoption. To address this emerging need, Elastifile partnered with Google Cloud to deliver a fully-managed, cloud-native file service, complete with a full suite of enterprise NAS features. This new service leverages deep integration with Google Cloud infrastructure and makes file storage on GCP both user-friendly and affordable, thereby eliminating the gap between enterprise storage requirements and cloud capabilities. Leveraging the new file service from Elastifile, Google Cloud users can, for the first time, manage scalable, software-defined NAS infrastructure as easily as they manage other Google-native services...with none of the complexity and cost associated with do-it-yourself storage implementations...and without the scalability and availability limitations of legacy, hardware-dependent storage architectures.

Upbound Makes Multicloud a Reality with Crossplane, An Open Source Multicloud Control Plane

Upbound, the company who brought forward Rook, announced Crossplane, an open source multicloud control plane. Crossplane introduces workload and resource abstractions on-top of existing managed services to enable a high degree of workload portability across cloud providers. A single crossplane enables the provisioning and full-lifecycle management of services and infrastructure across a wide range of providers, offerings, vendors, regions, and clusters. The open source project is a community driven effort to provide the best of all clouds to organizations.

"By running workloads across cloud providers, organizations are able to improve availability, geographic presence, reach, as well as optimize cost and take advantage of differentiated services," said Bassam Tabbara, CEO of Upbound. "A critical component of a multicloud strategy is a control plane that is able to schedule and orchestrate portable workloads across cloud providers, regions, clusters and on-premises while still using best-of-breed managed services."

Crossplane supports AWS, Microsoft Azure, and Google Cloud with more cloud providers and on-premises options coming soon. Based on the familiar Kubernetes API, Crossplane was built with the cloud native world in mind. Crossplane applies many of the lessons learned in container orchestration to multicloud workload and resource orchestration.

Vology Joins as Premier Partner for Google Cloud Platform

Vology, a leading managed IT, security and cloud services provider, today announced it has joined the Google Cloud Partner Program as a Premier Partner, becoming one of the Managed Services Providers (MSPs) within Google Cloud's ecosystem.

Effective immediately, Vology will tap the computational power and global reach of Google Cloud's infrastructure to sell, service and build more robust solutions and controls to provide customers with a safe, secure path to the cloud, with ongoing support and administration.

Igneous Strengthens Integration with Amazon Web Services, Google Cloud Platform, and Microsoft Azure

Igneous, a leader in Unstructured Data Management (UDM), announced the immediate availability of enhanced integrations with all three major public cloud storage providers. These enhanced integrations give data-centric organizations the flexibility and control to programmatically move individual datasets and exports to any storage tier in public clouds. In addition, cloud data management operations are handled via the Igneous UDM as-a-Service solution, affording customers lower operational costs.

Customers currently use Igneous' API-based cloud storage integrations for efficient long-term data protection and archive. Moving datasets in and out of public clouds from datacenters at scale, however, can burden enterprise IT departments, which face growing challenges. Igneous' exclusive NAS export control shifts this burden onto the Igneous platform via programmatic, end-to-end unstructured data management as-a-Service, regardless of size of files, density of filesystems, or volume of data offsite for storage cost optimization. Igneous equips customers to automatically replicate backup exports and archive datasets to Microsoft Azure's Hot, Cool, and Archive storage tiers; Google Cloud Platform's Regional, Nearline, and Coldline storage tiers; and Amazon Web Services' S3 Standard, S3 Infrequent Access (IA), and Glacier storage tiers.

 

ThoughtSpot Announces Partnership with Google Cloud Platform to Deliver Multi-Cloud Analytics for the Enterprise

ThoughtSpot announced a partnership with Google Cloud to deliver multi-cloud analytics to the enterprise. As part of this partnership, ThoughtSpot has been certified to run its in-memory calculation engine Falcon, one of the fastest in the industry, on Google Cloud Platform, and announced new integrations with Google Cloud Machine Learning Engine to simplify machine learning and data science workflows.

Harnessing the Power of Multiple Clouds

Cloud technologies are reshaping every industry by streamlining operations, reducing inefficiencies, and unlocking completely new opportunities for organizations. As cloud technologies proliferate, however, enterprises face a new set of challenges in managing and harnessing the collective power of their multiple clouds. ThoughtSpot breaks these barriers by enabling enterprises to analyze data across their public cloud, private cloud, and on premise environments.

LogicMonitor Launches Google Cloud Platform Capabilities for Expanded Multi-Cloud Performance Monitoring

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Companies that have invested in multi-cloud deployments can now comprehensively view the health, performance, usage and spend of all public cloud investments, including Google Cloud Platform (GCP), in a single view using LogicMonitor's enhanced LM Cloud solution.

LogicMonitor, the leading SaaS-based performance monitoring platform for enterprise IT and Managed Service Providers, just launched expanded capabilities to LM Cloud to support Google Cloud Platform. GCP joins Amazon Web Services (AWS) and Microsoft Azure as cloud platform technologies supported by LogicMonitor's hybrid monitoring platform.

"Enterprise workloads are moving to the cloud, and more than half now use more than one type of public cloud service. Using multiple cloud providers can significantly decrease risk and costs while increasing security and autonomy," said Steve Francis, Founder and Chief Evangelist at LogicMonitor. "Evolving our multi-cloud monitoring to include GCP gives companies the single-pane-of-glass view that enables them to optimize technical performance and financial management of their cloud resources."

StackRox Delivers Kubernetes Security and Compliance for Mux

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StackRox, a leader in security for containerized, cloud-native applications, today announced that Mux, a leading provider of streaming video infrastructure and monitoring technology for developers and publishers of online video, has deployed the StackRox Container Security Platform to protect its microservices and container environments in Amazon Web Services (AWS) and Google Cloud Platform (GCP). StackRox enables Mux to meet its compliance requirements, harden its Docker and Kubernetes infrastructure to reduce the attack surface, and detect and stop threats at runtime. StackRox secures containers and microservices across the entire life cycle - build, deploy and run - and supports multiple platforms across the ecosystem, including Kubernetes and Docker as well as Amazon EKS, Microsoft AKS, Google Kubernetes Engine and Red Hat OpenShift. 

"Mux's goal is to make high-quality video streaming accessible to every developer. Our SaaS model lends itself to that level of accessibility, but we needed an agile and powerful infrastructure to match," said Adam Brown, Mux Co-founder and Head of Infrastructure. "With that DevOps mindset, we started building our platform entirely in containers from the outset. As our platform matured, so did our container security and compliance needs, which is why we turned to StackRox."

Jungle Disk Announces New Software Version Including Google Cloud Platform Support

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Jungle Disk today announced version 3.30 of its encrypted cloud backup and storage software, which now includes Google Cloud Platform as the default storage choice. With the new version of the software, small businesses will be able to take advantage of multiple cloud platform choices, increased performance, and cross-platform HIPAA and PCI compliant collaboration with military-grade encryption to store and secure business critical data.

The addition of Google Cloud Platform in the new software version improves data recovery time for small businesses in the event of an accident or cyber attack. Also, customers who choose to store data on Google Cloud Platform through the Jungle Disk software gain the advantage of geo-replicated data protection without the complexity of integrating into cloud APIs themselves. This ensures that if there is an outage in a single data center it will not impact daily business operations of a customer's Jungle Disk powered cloud based file server.

BlueData Announces General Availability on Google Cloud Platform and Microsoft Azure

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BlueData, provider of the leading container-based software platform for AI and Big Data workloads, today announced the general availability (GA) of its BlueData EPIC software on Google Cloud Platform and Microsoft Azure. This makes BlueData the only unified solution for Big-Data-as-a-Service and AI-as-a-Service with the flexibility to support all three major public cloud services as well as on-premises and hybrid cloud deployments.

Public cloud services continue to be an increasingly popular option for many workloads in the enterprise - including applications for distributed analytics, data science, machine learning, and deep learning. But most enterprises today want the ability to deploy these applications quickly and easily regardless of the infrastructure, either on- or off-premises. They want self-service, elastic, automated, and secure environments for machine learning and analytics - whether the underlying compute and data storage is hosted in one public cloud or another, in their own data centers, or in a hybrid architecture.

Leveraging the inherent infrastructure portability of Docker containers, BlueData is committed to supporting these multi-cloud and hybrid cloud options for Big Data and AI deployments. Last fall, BlueData introduced the initial directed availability of BlueData EPIC on Google Cloud Platform (GCP) and Microsoft Azure - adding to its existing GA support for Amazon Web Services (AWS). And over this past year, BlueData has introduced additional new capabilities for AI, machine learning, and deep learning applications in multi-cloud and hybrid models.

 

Striim Expands Integration With Google to Move Real-Time Data to Google Cloud Platform

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Striim, provider of an enterprise-grade platform for streaming data integration, announced today that it has expanded integration with Google Cloud Platform (GCP) to continuously feed real-time data from a broad range of data sources to Google BigQuery and Cloud SQL for PostgreSQL and MySQL. This integration helps Google customers to move toward a hybrid cloud infrastructure by making real-time enterprise data available for data warehousing, advanced analytics, operational reporting and machine learning solutions.

Striim's platform-as-a-service solutions for the GCP infrastructure platform simplify the creation of real-time data pipelines from existing databases and data warehouses into Google BigQuery and Cloud SQL for PostgreSQL and MySQL.